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19 дней назад

Senior Data Analyst (Live Streaming)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b1
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Analyst (Live Streaming) (SQL/A/B Testing): Owning analytics for product domains on a global live-streaming platform, including experimentation, production datasets, and event instrumentation with an accent on product analytics, statistical rigor, and cross-platform tracking. Focus on designing reliable A/B tests, building tested SQL and YAML pipelines, validating AI-assisted analysis, and ensuring experiment and event data quality.

Location: Warsaw, Poland; hybrid schedule with 4 days at the office and 1 day working from home

Company

Live-streaming B2C platform with more than 450 million registered users and over 500 employees worldwide, enabling creators to publish live content, engage with fans, and monetize their talents.

What you will do

  • Own analytics for a product domain and act as the primary data partner for product managers and engineers.
  • Design, run, monitor, and evaluate end-to-end A/B tests, including hypotheses, metrics, audience selection, assignment validation, and ship or do-not-ship recommendations.
  • Build and maintain production datasets using SQL and YAML pipeline configuration with freshness, uniqueness, and validity checks.
  • Define event instrumentation specifications for Android, iOS, and Web features and validate event behavior after release.
  • Review and maintain production analytics code through Git and merge requests.

Requirements

  • Advanced SQL skills, including window functions, multi-source joins, and query-cost analysis.
  • Strong experimentation background covering hypothesis testing, confidence intervals, statistical power, minimum detectable effect, and common A/B testing failure modes.
  • At least 3 years of experience as a product or data analyst on consumer products, including mobile and web analytics.
  • Experience with Git, merge requests, production SQL, pipeline code, and reviewing others' SQL.
  • Working knowledge of product event tracking across Android, iOS, and Web.
  • English at B1 level or above, with the ability to write specifications and present findings to product stakeholders.

Nice to have

  • Experience with BigQuery, including partitioned tables, clustering, and slot-based pricing.
  • Airflow, dbt, or another orchestrated transformation framework.
  • Python and statistical libraries such as pandas, scipy, or statsmodels.
  • Experience with Looker, Tableau, Power BI, Soda, or Great Expectations.
  • Experience in social, live-streaming, gaming, or other engagement-driven consumer products.

Culture & Benefits

  • Stock options grant from a Silicon Valley company.
  • Medical insurance for the employee and 75% coverage for relatives.
  • Lunch budget, parking, and a Multisport card.
  • Collaborative office environment with a cheerful team culture.

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